Research Assistant
Core
Developing the software foundation for an AI-driven adaptive training control system for motor rehabilitation research, linking offline performance analysis to real-time task adjustments.
Role type
XR Research Assistant (Software Development)
Builds
AI-driven adaptive training control system, AR/VR rehabilitation paradigms, real-time interaction features on standalone XR hardware.
Domain
Biomedical Engineering / Extended Reality (XR) / Motor Rehabilitation
Deliverable
production ML models | product features
Required skills
Unity development, Artificial Intelligence, Machine Learning, XR prototyping (AR/VR), Software pipeline development, Technical feasibility assessment, Hardware–software integration
Preferred skills
Standalone VR/AR headset development (e.g., Meta Quest), Real-time hand tracking, Hand kinematics, Shaders, Particle systems, MATLAB integration, Biomedical application interest
Technologies
Unity, Meta Quest, MATLAB
Responsibilities
Develop software pipeline for AI-driven closed-loop adaptive training control system; Assess technical feasibility and estimate development effort; Convert immersive VR rehabilitation tasks into AR counterparts; Establish and validate hardware–software connection between experimental devices and standalone XR headsets; Implement real-time hand tracking, overlay, and visual-feedback features; Build data capture and replay functionality for hand kinematic data.
Seniority
Recent graduate / Entry-level
